{"id":"W2109589414","doi":"10.1002/rob.20151","title":"Real‐time trajectory resolution for a two‐manipulator machining system","year":2006,"lang":"en","type":"article","venue":"Journal of Robotic Systems","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Toronto","funders":"Institute of Nuclear Energy Research","keywords":"Machining; Control theory (sociology); Torque; Trajectory; Blank; Process (computing); Computer science; Control engineering; Robot; Engineering; Simulation; Mechanical engineering; Control (management); Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007738799,0.0001942832,0.0005409814,0.0001999514,0.00008315273,0.00008166819,0.0001770197,0.000114417,0.000003498867],"category_scores_gemma":[0.00002032151,0.0001715393,0.0002041198,0.0001188416,0.00001071195,0.0001499415,0.00000949794,0.0001538357,0.00001320094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004218062,"about_ca_system_score_gemma":0.00004473372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001126941,"about_ca_topic_score_gemma":0.000005914136,"domain_scores_codex":[0.9982491,0.00006004675,0.0009418422,0.0001197898,0.000316657,0.0003125867],"domain_scores_gemma":[0.9990889,0.0001257599,0.0003493085,0.0001877482,0.000140312,0.0001079552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001648936,0.00001417612,0.00005683662,0.0003998828,0.00006322907,0.00002525394,0.00003820303,0.975082,0.007553064,0.01554434,0.001146432,0.00006003992],"study_design_scores_gemma":[0.0008143001,0.0001156121,0.000190276,0.0005369831,0.0001023869,0.0006540733,0.0001653887,0.9970324,0.00003889564,0.00008880066,0.00008110955,0.0001797688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0190027,0.0008192761,0.9732994,0.00001157612,0.004064202,0.0003718555,0.000005964787,0.0001872032,0.002237764],"genre_scores_gemma":[0.9341931,0.00001118691,0.06341548,0.000002732727,0.001803936,0.00001405092,0.000007253912,0.00009051451,0.0004616926],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9151905,"threshold_uncertainty_score":0.699517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01054258800559068,"score_gpt":0.2102854042878031,"score_spread":0.1997428162822124,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}